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Metals 2017, 7(12), 528; https://doi.org/10.3390/met7120528

Radial Basis Functional Model of Multi-Point Dieless Forming Process for Springback Reduction and Compensation

Department of Aerospace Engineering, Pusan National University, Busan 46241, Korea
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Received: 29 September 2017 / Revised: 30 October 2017 / Accepted: 23 November 2017 / Published: 27 November 2017
(This article belongs to the Special Issue Advances in Plastic Forming of Metals)
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Abstract

Springback in multi-point dieless forming (MDF) is a common problem because of the small deformation and blank holder free boundary condition. Numerical simulations are widely used in sheet metal forming to predict the springback. However, the computational time in using the numerical tools is time costly to find the optimal process parameters value. This study proposes radial basis function (RBF) to replace the numerical simulation model by using statistical analyses that are based on a design of experiment (DOE). Punch holding time, blank thickness, and curvature radius are chosen as effective process parameters for determining the springback. The Latin hypercube DOE method facilitates statistical analyses and the extraction of a prediction model in the experimental process parameter domain. Finite element (FE) simulation model is conducted in the ABAQUS commercial software to generate the springback responses of the training and testing samples. The genetic algorithm is applied to find the optimal value for reducing and compensating the induced springback for the different blank thicknesses using the developed RBF prediction model. Finally, the RBF numerical result is verified by comparing with the FE simulation result of the optimal process parameters and both results show that the springback is almost negligible from the target shape. View Full-Text
Keywords: multi-point dieless forming; springback reduction; springback compensation; radial basis function multi-point dieless forming; springback reduction; springback compensation; radial basis function
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Abebe, M.; Yoon, J.-S.; Kang, B.-S. Radial Basis Functional Model of Multi-Point Dieless Forming Process for Springback Reduction and Compensation. Metals 2017, 7, 528.

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